Pengantar Data Science
- Deskripsi
- Materi
- Ulasan
Apa yang akan Anda pelajari
☑️ Definisi Data Science ☑️ Pengumpulan Data ☑️ Explorasi Data ☑️ Pengembangan Model Prediktif ☑️ Machine Learning ☑️ Etika dan Privasi Data ☑️ Tantangan dan Peluang ☑️ Referensi dan Sumber Belajar |
☑️ Tujuan Data Science ☑️ Data Cleaning ☑️ Pemodelan Statistik ☑️ Penggunaan Alat dan Bahasa Pemrograman ☑️ Big Data dan Teknologi Terkait ☑️ Studi Kasus ☑️ Perkembangan Terkini |
Kursus “Pengantar Data Science” adalah panduan komprehensif untuk memahami dunia Data Science. Kursus ini dirancang untuk memberikan pemahaman dasar tentang konsep, alat, dan teknik yang digunakan dalam analisis data modern. Data Science merupakan salah satu disiplin ilmu yang paling berkembang pesat di era digital ini, dan kursus ini akan membantu Anda menguasai keterampilan yang sangat dicari dalam berbagai industri.
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11. Apa itu Machine Learning dan Data Science08:16
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22. Instalasi Python dan Miniconda03:13
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33. Instalasi Jupyter Notebook05:30
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44. Belajar cara pakai Jupyter Notebook dan shortcut nyaSorry, this lesson is currently locked. You need to complete "3. Instalasi Jupyter Notebook" before accessing it.
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55. Belajar Python untuk pemulaSorry, this lesson is currently locked. You need to complete "4. Belajar cara pakai Jupyter Notebook dan shortcut nya" before accessing it.
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66. Review Basic Python dan LatihanSorry, this lesson is currently locked. You need to complete "5. Belajar Python untuk pemula" before accessing it.
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77. Kerja dengan rapi menggunakan Conda EnviironmentSorry, this lesson is currently locked. You need to complete "6. Review Basic Python dan Latihan" before accessing it.
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88. Belajar analisis data menggunakan PandasSorry, this lesson is currently locked. You need to complete "7. Kerja dengan rapi menggunakan Conda Enviironment" before accessing it.
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99. Filtering data PandasSorry, this lesson is currently locked. You need to complete "8. Belajar analisis data menggunakan Pandas" before accessing it.
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1010. Konsep Encodeing untuk Data KategorikalSorry, this lesson is currently locked. You need to complete "9. Filtering data Pandas" before accessing it.
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1111. Konsep Binning untuk data NumerikSorry, this lesson is currently locked. You need to complete "10. Konsep Encodeing untuk Data Kategorikal" before accessing it.
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1212. Belajar Visualisasi Data dengan MatplotlibSorry, this lesson is currently locked. You need to complete "11. Konsep Binning untuk data Numerik" before accessing it.
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1313. Scatter Plot di MatplotlibSorry, this lesson is currently locked. You need to complete "12. Belajar Visualisasi Data dengan Matplotlib" before accessing it.
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1414. Histogram Plot di MatplotlibSorry, this lesson is currently locked. You need to complete "13. Scatter Plot di Matplotlib" before accessing it.
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1515. Membuat Subplot dangan MatplotlibSorry, this lesson is currently locked. You need to complete "14. Histogram Plot di Matplotlib" before accessing it.
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1616. Menambahkan teks dan anotasi pada plotSorry, this lesson is currently locked. You need to complete "15. Membuat Subplot dangan Matplotlib" before accessing it.
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1717. Plot 3 Dimensi di MatplotlibSorry, this lesson is currently locked. You need to complete "16. Menambahkan teks dan anotasi pada plot" before accessing it.
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1818. Visualisasi jadi lebih mudah dengan SeabomSorry, this lesson is currently locked. You need to complete "17. Plot 3 Dimensi di Matplotlib" before accessing it.

Jam Kerja
Monday | 07.00 WIB - 16.00 WIB |
Tuesday | 08.00 WIB - 15.00 WIB |
Wednesday | 06.00 WIB - 15.00 WIB |
Thursday | 07.00 WIB - 16.00 WIB |
Friday | 08.00 WIB - 15.00 WIB |
Saturday | Closed |
Sunday | Closed |